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graphs

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graphs
graph-algorithms
benchmarking
pagerank
shortest-paths
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Upload the 61-graph SGPL local benchmark corpus

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  1. README.md +48 -0
  2. SHA256SUMS +63 -0
  3. bio__bio-WormNet-v3-benchmark.tar.gz +3 -0
  4. dimacs10__fe-4elt2.tar.gz +3 -0
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  30. manifest.json +0 -0
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README.md ADDED
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+ ---
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+ pretty_name: SGPL local benchmark graphs
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+ language:
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+ - en
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+ tags:
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+ - graphs
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+ - graph-algorithms
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+ - benchmarking
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+ - pagerank
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+ - shortest-paths
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+ ---
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+ # SGPL local benchmark graphs
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+
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+ The **61-graph local corpus** used for BFS, SSSP, connected components, and PageRank benchmark campaigns. This is the exact input corpus used in the local experiments through 24 October 2026; it is not the complete upstream graph collections.
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+
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+ Each graph is a separate `.tar.gz` archive. `manifest.json` records its original graph identifier, vertex/arc counts, direction settings, source vertex, synthetic-weight provenance, and SHA-256 checksums for the archive and every graph file. File bytes are preserved from the frozen benchmark inputs. No benchmark is run when packaging these files.
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+
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+ ## Files in each graph archive
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+
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+ - `original.edges`: original benchmark edge-list input; integer vertex IDs, retaining its original occurrence order and duplicate edges.
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+ - `graph.bin`: exact prepared binary CSR input used by the local graph benchmark harness. This is a benchmark-specific binary representation, not an Arrow or Parquet dataset. Its header is 64 bytes; vertex count and arc count are little-endian uint64 values at byte offsets 16 and 24. They are followed by `n` little-endian uint64 row offsets and `m` little-endian uint32 destination IDs. The terminal row offset is the header's `m`.
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+ - `weighted-original.wel`: original edge-list occurrences with the benchmark's synthetic SSSP weights added as a third column.
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+ - `weights.f32`: little-endian float32 synthetic weights in prepared CSR arc order, used by the saved Graptor comparison.
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+ - `weights.i32`: the same synthetic weights as little-endian signed int32 in prepared CSR arc order.
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+
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+ The original edge list and prepared CSR need not have the same row count. Use the manifest's direction/storage fields: undirected inputs are represented with both arc directions in CSR. Preserve duplicate edges and sparse vertex IDs when reproducing the benchmarks.
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+
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+ ## Synthetic SSSP weights
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+
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+ Weights are **synthetic positive integers from 1 through 255**, generated with seed **2358**. They must not be described as original or real-world edge weights. The two weight sidecars have the same numeric values and differ in encoding. BFS, CC, and PageRank use the unweighted topology.
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+
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+ ## Download and extract one graph
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+
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+ ```python
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+ from huggingface_hub import hf_hub_download
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+ import tarfile
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+
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+ archive = hf_hub_download(repo_id="ksahib/graphs",
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+ filename="dimacs__hamming8-2.tar.gz", repo_type="dataset")
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+ with tarfile.open(archive, "r:gz") as graph_archive:
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+ graph_archive.extractall("graphs", filter="data")
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+ ```
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+
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+ ## Integrity and provenance
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+
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+ `SHA256SUMS` covers the distributed archives and manifest. Each archive contains only the five graph-input files listed above. The package excludes source code, binaries, logs, credentials, private machine paths, and performance reports.
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+
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+ The graph identifiers and collection group names are retained from the frozen benchmark manifest. That manifest does not establish a corpus-wide redistribution license or complete original download URLs; no new license is asserted here. Consult the relevant upstream graph collection's terms before reuse.
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